Eitaro Aiyoshi

149 total papers · 604 total citations
59 papers, 424 citations indexed

About

Eitaro Aiyoshi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Control and Systems Engineering. According to data from OpenAlex, Eitaro Aiyoshi has authored 59 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 19 papers in Computational Theory and Mathematics and 12 papers in Control and Systems Engineering. Recurrent topics in Eitaro Aiyoshi's work include Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Advanced Optimization Algorithms Research (10 papers). Eitaro Aiyoshi is often cited by papers focused on Metaheuristic Optimization Algorithms Research (20 papers), Advanced Multi-Objective Optimization Algorithms (15 papers) and Advanced Optimization Algorithms Research (10 papers). Eitaro Aiyoshi collaborates with scholars based in Japan. Eitaro Aiyoshi's co-authors include Yo Ishizuka, Takashi Okamoto, Yôko Kobayashi, Keiichiro Yasuda, Tsunenori Arai, Emiyu Ogawa, Ryohei Suzuki, Tetsuro Matsui, Kiyotaka Shimizu and Yoshikazu Fukuyama and has published in prestigious journals such as Automatica, Annals of Operations Research and Mathematics and Computers in Simulation.

In The Last Decade

Eitaro Aiyoshi

52 papers receiving 409 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Eitaro Aiyoshi	155	148	135	48	45	59	424
Tsu-Shuan Chang	66 0.4×	96 0.6×	95 0.7×	58 1.2×	42 0.9×	47	426
Yancang Li	198 1.3×	77 0.5×	79 0.6×	11 0.2×	31 0.7×	50	457
Jean Bigeon	91 0.6×	87 0.6×	94 0.7×	22 0.5×	18 0.4×	40	376
Mohamadreza Ahmadi	88 0.6×	150 1.0×	58 0.4×	9 0.2×	18 0.4×	40	379
Rodrigo A. González	78 0.5×	129 0.9×	31 0.2×	23 0.5×	109 2.4×	50	403
Rachid Ellaia	67 0.4×	74 0.5×	144 1.1×	69 1.4×	20 0.4×	77	405
Nikolaos Samaras	88 0.6×	63 0.4×	100 0.7×	98 2.0×	6 0.1×	55	436
Hong Xia	175 1.1×	109 0.7×	25 0.2×	30 0.6×	10 0.2×	55	468
Fucai Qian	139 0.9×	269 1.8×	47 0.3×	8 0.2×	82 1.8×	88	481
Qunfeng Liu	229 1.5×	45 0.3×	184 1.4×	96 2.0×	9 0.2×	33	433

Countries citing papers authored by Eitaro Aiyoshi

Since Specialization

Citations

This map shows the geographic impact of Eitaro Aiyoshi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eitaro Aiyoshi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eitaro Aiyoshi more than expected).

Fields of papers citing papers by Eitaro Aiyoshi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eitaro Aiyoshi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eitaro Aiyoshi. The network helps show where Eitaro Aiyoshi may publish in the future.

Co-authorship network of co-authors of Eitaro Aiyoshi

This figure shows the co-authorship network connecting the top 25 collaborators of Eitaro Aiyoshi. A scholar is included among the top collaborators of Eitaro Aiyoshi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eitaro Aiyoshi. Eitaro Aiyoshi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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